TechnicalAI glossary
Latency
The time between your request and the response. Critical for real-time uses (voice, assistants), often in tension with quality.
In other words
The difference between a smooth conversation and a crackling walkie-talkie.
Alyriaz articles that mention it
- Opus 5.5: what actually changes compared with the previous one
Beyond benchmarks, we detail what Opus 5.5 does differently from Opus 5 in practice: speed, token consumption, endurance on long tasks, and the shape of its answers.
- A single model for text, image, sound and video
Alibaba has released Qwen3.8-Omni-Flash, a model that natively handles multiple modalities with a one-million-token context window. We explain what omnimodality actually changes.
- A model that writes a text in one go instead of word by word
Diffusion models applied to text generate an entire response in parallel rather than word by word. We explain the principle, its speed advantages and its limitations.
- ChatGPT Images 2.5: three billion images a week, and a shift towards editing
OpenAI has released ChatGPT Images 2.5 with two models for developers, halved latency, and gains focused on editing. We analyse this shift and what it targets.
- Nvidia is putting into production a chip that does only one thing: respond fast
Nvidia has announced that its inference accelerator, born from its acquisition of Groq, is entering production. Here’s why a chip specialised in responding rather than training is a significant signal.
- GPT-Live: voice without the text detour
OpenAI has launched GPT-Live, a native voice model announced with under 300 milliseconds of latency. We explain why removing the text step changes the nature of conversation, and what it raises.